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Sangpil Kim

12 papers hereh-index 112.7k citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4
  • last author5

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.GR1
same name
  • Sangpil Kim — 8 papers, h 5
  • Sangpil Kim — 7 papers, h 5
  • Sangpil Kim — 6 papers, h 3
  • Sangpil Kim — 5 papers, h 4
  • Sangpil Kim — 5 papers, h 2
  • Sangpil Kim — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

1k citations · 1k across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

LISA: Localized Image Stylization with Audio via Implicit Neural Representation

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon +3

We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization. Sound often provides information about the spec…

cs.CV2022

Robust Sound-Guided Image Manipulation

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon +3

Recent successes suggest that an image can be manipulated by a text prompt, e.g., a landscape scene on a sunny day is manipulated into the same scene on a rainy day driven by a tex…

cs.CV2022★ 4 cited

ORA3D: Overlap Region Aware Multi-view 3D Object Detection

Wonseok Roh, Gyusam Chang, Seokha Moon +5

Current multi-view 3D object detection methods often fail to detect objects in the overlap region properly, and the networks' understanding of the scene is often limited to that of…

cs.CV2022★ 1 cited

Sound-Guided Semantic Video Generation

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon +7

The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation. However, the generated motion in the video is usually n…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.